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I consult with Web2/Web3 companies developing their Web3 communities

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I'm (almost, just a few weeks to graduate!) a doctor in robotics. For most of my professional life I've researched new methods and algorithms for applying AI planning to robotics. In the world of deep learning, planning is not well-known, but it still has attractive applications, like recycling and healthcare assistance. I have a master in artificial intelligence too, so the new trends of AI are not alien to me. I've many personal project: I've implemented machine learning algorithms, and engage regularly in bot competitions and other forms of competitive programming (CodinGame, HackerRank, CodeForces, Project Euler). These have allowed me to hone my programming skills. I consider myself to be specially prolific in C++ and Python, which are the languages I use the most in robotics. However, I don't see myself as a collection of languages and frameworks (React + Node.JS + Angular.JS +, etc). I like to think I have a language-agnostic mentality. I like to figure out fast and performant algorithms, and the language and libraries are secondary. I subscribe to Dijkstra's philosophy: "Computer Science is no more about computers than astronomy is about telescopes".

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Developer by day, programmer by night. I obtained a master of science in civil engineering (computer science) and participated - together with several teams - in programming contests and hackathlons. I answer questions on StackOverflow on a daily basis and wrote courses on Artificial Intelligence and Digital Electronics. I am mainly interested in Haskell, Python, and Prolog. I worked as a researcher in the field of hyperheuristics (artificial intelligence), a teaching assistant in computer science and as a data scientist and technical lead developer in an AI startup. During my spare time I developed small (and larger) projects to help with daily routine. For me, a computer should aim to automate everything that is boring, such that one can pay more attention to what is interesting in life. After each session, I aim to write a document (usually within one week) that describes what we discussed. The public GPG key can be found here: https://pgp.mit.edu/pks/lookup?op=vindex&search=0x6A148004A6024E2B Usually available between 17:30 - 21:30 UTC (Monday to Friday) and 9:30 - 21:30 UTC (weekend). See for time conversions https://goo.gl/eWdDCG (week days) and https://goo.gl/kdvMsa (weekends).

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